一个物流帐混乱映射Levenberg Marquardt算法用于提高研磨机器人定位精度
Jian Liu1,2, Yonghong Deng3,4, Yulin Liu2
1School of Economics and Management, Chengdu Technological University, Chengdu, 611730, Sichuan, China.
Scientific reports
|April 26, 2024
概括
本研究介绍了一种新的物流帐混乱映射Levenberg Marquardt算法,通过识别和补偿动力几何错误来提高机器人研磨精度,提高精度和效率.
科学领域:
- 机器人技术 机器人技术 机器人技术
- 制造业 工程 制造工程
- 计算力学 计算力学 计算力学
背景情况:
- 机器人动力学中的几何错误显著影响工件加工精度.
- 绝对的定位准确性对于高质量的制造结果至关重要.
研究的目的:
- 开发和验证一种新的算法,用于识别和补偿磨机机器人运动学中的几何错误.
- 提高机器人系统的绝对定位精度和加工质量.
主要方法:
- 为研磨机器人构建前向动力学和错误模型.
- 应用一个物流帐混乱映射Levenberg Marquardt算法用于错误识别和补偿.
- 使用混乱映射来提高多样性和准确性的解决方案的代改进.
主要成果:
- 拟议的方法显示补偿精度增加了6%.
- 与现有方法相比,效率提高了47.68%.
- 通过经验补偿和模拟实验验证实磨工艺的有效性.
结论:
- 后勤帐混乱映射Levenberg Marquardt算法有效地识别和补偿磨机器人中的几何错误.
- 该方法显著提高了加工质量,精度和效率.
- 尽量减少截断错误,提高整体解决方案性能.
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